YoungIT Case Study: AI SDK for Mineral Identification & Number Plate Recognition
Client Overview: The Mining Department of a major Indian state faced massive revenue leakage due to unauthorized mineral transportation. Trucks engaged in illegal mining and unmonitored transport operations were bypassing regulatory systems, leading to commercial fraud and compliance violations.
Challenge:
- Illegal transport of minerals via unregistered and unauthorized trucks
- No real-time monitoring of mineral loads and vehicle movements
- Revenue loss due to fraud and inability to enforce challans
Solution: YoungIT deployed an AI-powered compliance automation system that integrated:
- Automatic Number Plate Recognition (ANPR) for vehicle identification
- Mineral Identification Cameras for validating transported material
- AI SDK and IoT-enabled Embedded Systems at barricades for real-time data capture
This setup allowed for automatic detection of fraudulent vehicle activity and automated challan generation, boosting regulatory control.
Key Features:
- Real-time vehicle tracking and mineral verification
- Seamless automation of challan (penalty) issuance
- Offline-capable edge devices with computer vision models
- High-accuracy fraud detection and alerting system
Technology Stack:
- AI SDK
- ANPR
- Computer Vision
- Embedded Systems
- IoT Integration
Business Impact:
- ✉ Strengthened regulatory compliance and fraud prevention
- ⏱ Enabled real-time identification of vehicles and transported minerals
- ₹ **Over ₹ 1 billion **collected in challan revenue by the Mining Department
Conclusion: YoungIT’s innovative AI-powered compliance platform revolutionized how the mining department detects, monitors, and acts on illegal transport activities. This success not only increased revenue but also created a transparent and accountable mining logistics ecosystem.